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The SSRC Library allows visitors to access materials related to self-sufficiency programs, practice and research. Visitors can view common search terms, conduct a keyword search or create a custom search using any combination of the filters at the left side of this page. To conduct a keyword search, type a term or combination of terms into the search box below, select whether you want to search the exact phrase or the words in any order, and click on the blue button to the right of the search box to view relevant results.

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  • Individual Author: Short, Vanessa L.; Oza-Frank, Reena; Conrey, Elizabeth J.
    Reference Type: Journal Article
    Year: 2012

    To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap...

    To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap test (AOR 1.20, 95 % CI 1.08–1.33), smoking (AOR 1.08, 95 % CI 1.03–1.14), <5 daily fruits/vegetables (AOR 1.11, 95 % CI 1.02–1.21), and overweight/obesity (AOR 1.05, 95 % CI 1.01–1.09). Appalachian women in counties with weaker economies had significantly higher odds of reporting less education, no health insurance, <5 daily fruits/vegetables, overweight/obesity, and poor mental health compared to Appalachian women in counties with the strongest economies. For many PCHIs, Appalachian women did not fare as well as non-Appalachians. Interventions sensitive to Appalachian culture to improve preconception health may be warranted for this population. (Author abstract)

  • Individual Author: Slack, Tim; Myers, Candice A.
    Reference Type: Journal Article
    Year: 2012

    This study examines the extent to which geographic variation in Food Stamp Program (FSP) participation is explained by place-based factors, with special attention to the case of the three poorest regions of the United States: Central Appalachia, the Texas Borderland, and the Lower Mississippi Delta. We use descriptive statistics and regression models to assess the prevalence and correlates of county-level FSP participation circa 2005. Our findings show that the economic distress that has long characterized Appalachia, the Borderland, and the Delta clearly translates into greater reliance on the FSP relative to other areas of the country. State-level effects and local-level variations in poverty, labor market conditions, population structure, human capital, and residential context explain much of this reality. Yet, even after taking all of these factors into account, these regional geographies remain home to particularly high FSP participation. Our findings underscore the importance of considering these regions as key cases of study in the stratification of American society and...

    This study examines the extent to which geographic variation in Food Stamp Program (FSP) participation is explained by place-based factors, with special attention to the case of the three poorest regions of the United States: Central Appalachia, the Texas Borderland, and the Lower Mississippi Delta. We use descriptive statistics and regression models to assess the prevalence and correlates of county-level FSP participation circa 2005. Our findings show that the economic distress that has long characterized Appalachia, the Borderland, and the Delta clearly translates into greater reliance on the FSP relative to other areas of the country. State-level effects and local-level variations in poverty, labor market conditions, population structure, human capital, and residential context explain much of this reality. Yet, even after taking all of these factors into account, these regional geographies remain home to particularly high FSP participation. Our findings underscore the importance of considering these regions as key cases of study in the stratification of American society and hold a variety of implications for public policy. (author abstract)

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